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On Demand Data Fusion for Single or Cross Domain Visualizations

Event Details

On Demand Data Fusion for Single or Cross Domain Visualizations

Time: March 22, 2017 from 8am to 10am
Location: Online
Website or Map: http://bit.ly/2n6Dczy
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Mar 8

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Event Description

Space is limited.

Reserve your Webinar seat now

Many companies have solved the challenge of how to capture, store and manage data. The new challenge is keeping up with the rapidly growing data volume, then sifting through zettabytes of data to uncover insights and find business value. Even data-savvy employees find they can’t easily access data and analytical insight when they need it most. The cost of integrating a new data source with a new data model is often so prohibitive, meaning your platform can never move at the speed of your available data.

Overcoming this challenge requires a solution with the ability to integrate data from all sources—internal, external, commercial, individual, emerging and proprietary data sources—into a single environment for advanced analytics, whether they were planned from the start or weren’t added until after the platform had already been launched.

In this webinar we’ll talk about efficient methods of data integration and visualization and you will learn:

  • New ways to connect, analyze and visualize data to deliver enhanced business value
  • Deliver the analytic insights in a visual, easy-to-digest format to tell a story, identify gaps and present actionable information in real time
  • How real-time data integration can occur in a flexible data model platform with no need for outside engineering help

Why leaving the data where it is opens the door for on-demand data fusion; the only kind that moves at the speed of your data!  Join us at this Data Science Central webinar on March 22nd to learn more!

Speaker: Nick Oben, Director of Innovation -- Semantic Research 

   

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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